Real-time
Two-way sync
Changes in AWS Aurora PostgreSQL or Tinybird instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Data warehouse
AWS Aurora PostgreSQL to Tinybird integration — real-time, two-way sync
Keep AWS Aurora PostgreSQL and Tinybird in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect AWS Aurora PostgreSQL and Tinybird
Connect AWS Aurora PostgreSQL and Tinybird with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.
Operational databases and analytical warehouses want the same data at different moments. Analysts want AWS Aurora PostgreSQL's rows in Tinybird, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in AWS Aurora PostgreSQL where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in AWS Aurora PostgreSQL sync into Tinybird in real time, and result tables in Tinybird sync back into AWS Aurora PostgreSQL, with schema and type mapping between the two systems handled for you.
Common use cases
- 01 Stream CRM activity such as deals and tickets into Tinybird Data Sources to power customer-facing dashboards.
- 02 Sync order events from an ERP into Tinybird to serve low-latency operational analytics endpoints.
- 03 Sync JSONB-heavy application data into structured objects in downstream business systems.
- 04 Keep a customer-facing Aurora database aligned with an internal admin tool, with writes accepted on both sides.
Common sync patterns
Serve warehouse results at database speed
Aggregates or model outputs computed in Tinybird sync into AWS Aurora PostgreSQL, where whatever reads from that database gets them without querying the warehouse.
Fresh analytics without loading windows
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Offload heavy reads
Point analytical queries at the synced copy in Tinybird and keep AWS Aurora PostgreSQL focused on its operational workload.
What you can sync between AWS Aurora PostgreSQL and Tinybird
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| AWS Aurora PostgreSQL objects | Tinybird objects | How this pairing syncs | |
|---|---|---|---|
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | Pipes Chained SQL nodes that transform Data Sources into query-ready results. | Rows is specific to AWS Aurora PostgreSQL and Pipes to Tinybird — each maps to any object or custom field on the other side. | |
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | API Endpoints Published Pipe outputs exposed as parameterized HTTP queries; the main read surface. | Columns is specific to AWS Aurora PostgreSQL and API Endpoints to Tinybird — each maps to any object or custom field on the other side. | |
| Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | Materialized Views Pipes materialized into new Data Sources for pre-aggregation at ingest time. | Primary keys and constraints is specific to AWS Aurora PostgreSQL and Materialized Views to Tinybird — each maps to any object or custom field on the other side. | |
| Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | Workspaces Project boundary that scopes Data Sources, Pipes, and tokens for a sync. | Views and materialized views is specific to AWS Aurora PostgreSQL and Workspaces to Tinybird — each maps to any object or custom field on the other side. | |
| Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | Tokens Scoped credentials that control read and append rights per resource. | Foreign keys is specific to AWS Aurora PostgreSQL and Tokens to Tinybird — each maps to any object or custom field on the other side. | |
| Replication slots and publications The logical replication objects that power log-based CDC. | Data Sources ClickHouse-backed tables that receive ingested rows; the write target for syncs into Tinybird. | Replication slots and publications is specific to AWS Aurora PostgreSQL and Data Sources to Tinybird — each maps to any object or custom field on the other side. |
How changes propagate between AWS Aurora PostgreSQL and Tinybird
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
AWS Aurora PostgreSQL Tinybird Sub-second propagation
DetectionChanges in AWS Aurora PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback.
DeliveryEach detected change is applied to Tinybird as a row-level write, with types converted between the two schemas.
Tinybird AWS Aurora PostgreSQL Interval-based propagation
DetectionStacksync polls Tinybird for changes on an incremental schedule, reading only records changed since the previous pass. Append-oriented ingestion.
DeliveryEach detected change is applied to AWS Aurora PostgreSQL as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Tinybird: Subject to the platform's ingestion and query rate limits; batch appends where possible.
What ships with AWS Aurora PostgreSQL ⇄ Tinybird
Connect AWS Aurora PostgreSQL and Tinybird for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Tinybird connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever AWS Aurora PostgreSQL or Tinybird data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single AWS Aurora PostgreSQL or Tinybird record.
Observability
Monitoring
Track your AWS Aurora PostgreSQL ⇄ Tinybird sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and Tinybird.
How the AWS Aurora PostgreSQL and Tinybird connectors work
AWS Aurora PostgreSQL
- Integration surface
- SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
- Authentication
- Database credentials, optionally AWS IAM database authentication, over TLS
- Change detection
- Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback
- Capabilities
- read · write · CDC
Tinybird
- Integration surface
- REST API (Events API for ingestion, published query endpoints) with a ClickHouse SQL dialect
- Authentication
- Scoped auth tokens
- Change detection
- Append-oriented ingestion; reads are pulled by querying published endpoints, no outbound CDC
- Capabilities
- read · write
- Rate limits
- Subject to the platform's ingestion and query rate limits; batch appends where possible.
How it works
How to connect AWS Aurora PostgreSQL to Tinybird — three steps, no code
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
- 01
Connect your apps
Authenticate AWS Aurora PostgreSQL and Tinybird with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
AWS Aurora PostgreSQL
connected
Tinybird
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the AWS Aurora PostgreSQL and Tinybird objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
objects · AWS Aurora PostgreSQL ⇄ TinybirdCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
AWS Aurora PostgreSQL TinybirdCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS Aurora PostgreSQL and Tinybird integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora PostgreSQL and Tinybird: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Rows and Columns), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both AWS Aurora PostgreSQL and Tinybird. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on AWS Aurora PostgreSQL: Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback. On Tinybird: Append-oriented ingestion; reads are pulled by querying published endpoints, no outbound CDC. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Tinybird side: Data Sources, Pipes, API Endpoints, Materialized Views, plus custom fields where Tinybird exposes them. On the AWS Aurora PostgreSQL side: Columns, Primary keys and constraints, Views and materialized views, Foreign keys. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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Common patterns for AWS Aurora PostgreSQL and Tinybird: Serve warehouse results at database speed; Fresh analytics without loading windows; Offload heavy reads. Aggregates or model outputs computed in Tinybird sync into AWS Aurora PostgreSQL, where whatever reads from that database gets them without querying the warehouse.
SECURITY
Security teams trust Stacksync
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
Every pair below is a real-time, two-way sync. Search all 379 integrations available for AWS Aurora PostgreSQL and Tinybird.
Popular · 4 of 379
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AWS Aurora PostgreSQL ⇄ Snowflake -
AWS Aurora PostgreSQL ⇄ BigQuery -
AWS Aurora PostgreSQL ⇄ MotherDuck -
Tinybird ⇄ Elasticsearch
No integrations match .
